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Optimization of WEDM process parameters using standard deviation and MOORA method

Publication Type : Conference Proceedings

Publisher : IOP: Conference Series: Materials Science and Engineering

Source : IOP: Conference Series: Materials Science and Engineering, Volume 402, p.1-12 (2018)

Url : https://www.researchgate.net/publication/327797163_Optimization_of_WEDM_process_parameters_using_standard_deviation_and_MOORA_method

Campus : Chennai

School : School of Engineering

Center : Research & Projects

Department : Mechanical Engineering

Year : 2018

Abstract : In this present experimental work, the effect and advancement of machining control parameters over kerf and surface quality in wire cut electrical discharge machining operations were analyzed. The hybrid metal reinforced composite was manufactured by process named as stir casting utilizing particulates of graphite & Silicon carbide each in Al6061 combination. The analyses were outlined with Taguchi L27 design matrix. WEDM parameters resemble pulse Pulse on time, current, Pulse off time, gap set voltage, wire tension &feed are considered. The impact of the machining parameters on the kerf width (KW) and surface roughness (SR) is dictated by utilizing examination of fluctuation. MOORA in blend with standard deviation (SDV) was utilized for the enhancement procedure. SDV was utilized to decide the weights that were utilized for normalizing the reactions acquired from the mechanical test outcomes. The parameters corresponding to experiment run number 7 are Pulse on time 108 units (Level 1), Pulse off time 50 units (Level 2), peak current 230 units (Level 3), gap set voltage 50 units (Level 3), wire feed 5 units (Level 3) and wire tension 12 units (Level 3) are the best combination to achieve better surface roughness & kerf width.

Cite this Research Publication : Muniappan A., Arokiya Raj, Jayakumar V., Shanmuga Prakash R., and Sathyaraj R., “Optimization of WEDM process parameters using standard deviation and MOORA method”, IOP: Conference Series: Materials Science and Engineering, vol. 402. pp. 1-12, 2018.

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